Inside every profile is a knowledge graph

How X-PEN ID is Structured

Learn how every contributor record is structured, machine-readable, and ready for the indexing & AI-driven discovery web

Anatomy of an X-PEN ID

Three parts. One persistent identity.

Every X-PEN ID follows a structured, human-readable format that combines who you are, when you joined, and a unique sequence — all in one short, memorable code.

  • NR
    Prefix — Your Initials

    Initials of your full legal name (first, middle, last). Example: Nasir Razzaq becomes NR.

  • XPEN2025
    Mid — Platform & Year

    "XPEN" identifies the platform; the year indicates when you joined the X-PEN ID ecosystem.

  • 0001
    Suffix — Unique Sequence

    A unique number assigned to you within that year — your permanent place in the contributor record.

12 structured layers

Every contributor, fully indexed.

Each X-PEN ID profile generates these structured layers automatically as you add information. All layers are Schema.org-compliant and emitted as JSON-LD for AI agents and search engines.

01

Person

schema:Person

Core identity — name, alternate names, honorific prefix and suffix, location, biography, profile image.

02

Identifiers

schema:identifier

X-PEN ID, ORCID, ISNI, Scopus, Web of Science, Google Scholar, ResearchGate, GitHub, Wikidata, LinkedIn — all linked.

03

Education

schema:alumniOf

Every degree from every institution, with dates, projects, theses, and verifiable credential records.

04

Experience

schema:hasOccupation

Career history with positions, organizations, dates, and responsibilities — preferred role highlighted.

05

Internships

schema:Occupation

Early-career experiences captured the same way as professional roles — supervisors, achievements, locations.

06

Courses & Specializations

EducationalOccupationalCredential

Certificates, training, and specializations as formal credentials with awarding bodies and verification IDs.

07

Articles

schema:ScholarlyArticle

Every article emitted as a separate node in the graph — journal, volume, issue, pages, DOI, SEIPID, abstract.

08

Books

schema:Book

Books, chapters, edited works, and translations with ISBN, edition, publisher, and contributor roles.

09

Awards & Recognitions

schema:award

Verified awards, fellowships, and honors — what was given, by whom, and when.

10

Memberships

schema:memberOf

Roles in academic societies, associations, editorial boards, and professional organizations.

11

Languages

schema:knowsLanguage

Spoken, written, and reading languages with proficiency levels — globally indexable.

12

Knowledge & Skills

schema:knowsAbout

Research interests, skills, keywords — the topical map of what each contributor works on.

What AI agents see

A simplified look at the JSON-LD.

When a search engine or AI agent visits an X-PEN ID profile, this is the structured data they read. Every profile emits its own version automatically.

profile.jsonld
// Simplified preview — actual graph contains 12+ layers
    {
      "@context": "https://schema.org",
      "@type": "ProfilePage",
      "mainEntity": {
        "@type": "Person",
        "name": "Dr. Salma Razzaq",
        "identifier": [
          { "propertyID": "X-PEN ID", "value": "SR-XPEN2025-0007" },
          { "propertyID": "ORCID",    "value": "0000-0002-..." }
        ],
        "alumniOf": [/* education layer */],
        "hasOccupation": [/* experience layer */],
        "hasCredential": [/* courses + degrees */],
        "knowsAbout": ["AI ethics", "Islamic ethics", ...],
        "knowsLanguage": ["English", "Urdu", "Arabic"],
        "award": [/* verified awards */],
        "memberOf": [/* societies, boards */],
        "sameAs": [/* all social/academic links */]
      },
      "@graph": [
        { "@type": "ScholarlyArticle", /* ... */ },
        { "@type": "Book",             /* ... */ }
      ]
    }
Compatibility

Readable by every modern discovery system.

Schema.org is the open standard adopted by all major search engines and AI systems. By emitting clean JSON-LD, every X-PEN ID profile is immediately understandable to humans, machines, and the next generation of AI agents.

Search Engines Google, Bing, DuckDuckGo — for rich knowledge panels and people cards.
AI Agents ChatGPT, Perplexity, Claude, Gemini — when answering "who is X" questions.
Scholarly Indexes Compatible with academic discovery tools, indexers, and bibliographic databases.
Open Knowledge Web Linked-data systems, knowledge graphs, and structured-data crawlers.
Identifier bridges

X-PEN ID doesn't replace — it connects.

Already on ORCID, Scopus, or LinkedIn? X-PEN ID treats every external identifier as part of your knowledge graph, with each link emitted as PropertyValue nodes for full machine traceability.

ORCID ISNI Scopus Author ID Web of Science ResearcherID Google Scholar ResearchGate LinkedIn GitHub Wikidata Academia.edu
The persistence promise

Built to last longer than any single platform.

Profiles disappear when websites die, when companies pivot, when faculty leaves a university. X-PEN ID is engineered for permanence.

Persistent IDs

Your X-PEN ID never changes. URLs stay stable. Citations to your profile remain valid for life.

Open data, exportable

Your full profile graph is yours. Download it as JSON-LD anytime. No lock-in. No proprietary format.

Independent infrastructure

X-PEN ID is hosted independently with built-in redundancy. Designed to outlive any single institution.

Start now

Your future profile should not be scattered across the internet.

Build a single, persistent, searchable identity that can grow with your education, work, research, credentials, and public contribution history.